Jangho Kim
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 4 papers; trusts 533 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 106 citations into it; #5,690 of 21,575 by trust here, #7,176 by citations
- Artificial Intelligence — 93 citations into it; #7,174 of 35,345 by trust here, #9,557 by citations
- Efficiency & Compression — 53 citations into it; #389 of 1,264 by trust here, #673 by citations
- Model Architectures — 19 citations into it
- Optimization & Training — 14 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Generative Models — 10 citations into it
- Signal Processing — 8 citations into it
Whom Jangho Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Karen Simonyan
- Sergey Zagoruyko
- Jimmy Ba
- Ross B. Girshick
Who trusts Jangho Kim overall
- Seonguk Park
- Jianping Gou
- Lin Wang
- Nojun Kwak
- Kuk-Jin Yoon
- Baosheng Yu
- Itay Hubara
- Anbang Yao
- Mingi Ji
- Minsoo Kang
Papers from Jangho Kim's perspective
Ordered by how strongly the researchers Jangho Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Paraphrasing Complex Network: Network Compression via Factor Transfer (2018) — 652 citations
- Feature-map-level Online Adversarial Knowledge Distillation (2020) — 155 citations
- Feature Fusion for Online Mutual Knowledge Distillation (2019) — 110 citations
- QKD: Quantization-aware Knowledge Distillation (2019) — 82 citations